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Mobile-Aware Deep Learning Algorithms for Malaria Parasites and White Blood Cells Localization in Thick Blood Smears., , and . Algorithms, 14 (1): 17 (2021)Establishing spatially-enabled health registry systems using implicit spatial data pools: case study - Uganda., , , , , and . BMC Medical Informatics Decis. Mak., 19 (1): 215:1-215:9 (2019)A web-based intelligence platform for diagnosis of malaria in thick blood smear images: a case for a developing country., , , , and . CVPR Workshops, page 4238-4244. Computer Vision Foundation / IEEE, (2020)Localization of Malaria Parasites and White Blood Cells in Thick Blood Smears., , , , and . CoRR, (2020)A Review on Automated Detection and Assessment of Fruit Damage Using Machine Learning., , , and . IEEE Access, (2024)A Poster on Intestinal Parasite Detection in Stool Sample Using AlexNet and GoogleNet Architectures., , and . COMPASS, page 389-395. ACM, (2021)Deep Convolutional Neural Networks for Microscopy-Based Point of Care Diagnostics., , , , , and . MLHC, volume 56 of JMLR Workshop and Conference Proceedings, page 271-281. JMLR.org, (2016)An Approach for Assessing Quality of Labeled Data for a Machine Learning Task in Malaria Detection., , , , and . COMPASS, page 301-304. ACM, (2020)Machine Learning for Health: Algorithm Auditing & Quality Control., , , , , , , , , and 29 other author(s). J. Medical Syst., 45 (12): 105 (2021)